Katherine A. Heller

97 papers A* 15A 14Misc 1Journal 42Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset. ACL (1) Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, Tassallah Abdullahi, Emmanuel Ayodele, Mardhiyah Sanni, Ezinwanne C. Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F. P. Dossou, Moshood O. Yekini, Jonas Kemp, Katherine A. Heller, Jude Chidubem Omeke, Chidi Asuzu MD, Naome A. Etori, Aimérou Ndiaye, Ifeoma Okoh, Evans Doe Ocansey, Wendy Kinara, Michael L. Best, Irfan Essa, Stephen Edward Moore, Chris Fourie, Mercy Nyamewaa Asiedu
2025	J	`jnl`	EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. CoRR Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh
2025	—	`conf`	Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. FAccT Mercy Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2025	—	`conf`	Position: Stop treating 'AGI' as the north-star goal of AI research. ICML (Position Papers) Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025	J	`jnl`	Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning. CoRR Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	Misc	`conf`	Speech Recognition with LLMs Adapted to Disordered Speech Using Reinforcement Learning. ICASSP Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	J	`jnl`	Stop treating 'AGI' as the north-star goal of AI research. CoRR Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025	J	`jnl`	Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. CoRR Stephen R. Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
2025	A*	`conf`	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. ICLR Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	J	`jnl`	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah DeWitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
2024	J	`jnl`	AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset. CoRR Tobi Olatunji, Charles Nimo, Abraham Toluwase Owodunni, Tassallah Abdullahi, Emmanuel Ayodele, Mardhiyah Sanni, Chinemelu Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F. P. Dossou, Moshood Yekini, Jonas Kemp, Katherine A. Heller, Jude Chidubem Omeke, Chidi Asuzu MD, Naome A. Etori, Aimérou Ndiaye, Ifeoma Okoh, Evans Doe Ocansey, Wendy Kinara, Michael L. Best, Irfan Essa, Stephen Edward Moore, Chris Fourie, Mercy Nyamewaa Asiedu
2024	A*	`conf`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2024	J	`jnl`	Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. CoRR Mercy Nyamewaa Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Oluwatosin Akande, Geoffrey Siwo, Steve Adudans, Sylvanus Aitkins, Odianosen Ehiakhamen, Eric Ndombi, Katherine A. Heller
2024	J	`jnl`	Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study. CoRR David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine A. Heller, Gustavo Turecki
2024	A*	`ed.`	Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 ICML Ruslan Salakhutdinov, Zico Kolter, Katherine A. Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp
2024	J	`jnl`	Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. CoRR Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2024	—	`conf`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. EAAMO Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2023	J	`jnl`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Sanmi Koyejo, Katherine A. Heller
2023	J	`jnl`	Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
2023	J	`jnl`	Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023	A*	`conf`	Participatory Personalization in Classification. NeurIPS Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun
2023	J	`jnl`	Participatory Systems for Personalized Prediction. CoRR Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun
2023	J	`jnl`	STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy
2022	A*	`conf`	Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
2022	—	`conf`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	J	`jnl`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	—	`conf`	Evaluation Gaps in Machine Learning Practice. FAccT Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	J	`jnl`	Evaluation Gaps in Machine Learning Practice. CoRR Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	—	`conf`	Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
2022	—	`conf`	Opportunities for Human-centered Evaluation of Machine Translation Systems. NAACL-HLT (Findings) Daniel Liebling, Katherine A. Heller, Samantha Robertson, Wesley Hanwen Deng
2022	J	`jnl`	Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2021	—	`conf`	Deep Cox Mixtures for Survival Regression. MLHC Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	J	`jnl`	Deep Cox Mixtures for Survival Regression. CoRR Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	J	`jnl`	Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan
2021	A	`conf`	Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
2020	—	`conf`	Analyzing the role of model uncertainty for electronic health records. CHIL Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai
2020	A*	`conf`	Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. ICML Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran
2020	J	`jnl`	Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. CoRR Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran
2020	J	`jnl`	Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2019	J	`jnl`	Analyzing the Role of Model Uncertainty for Electronic Health Records. CoRR Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai
2019	J	`jnl`	Federated and Differentially Private Learning for Electronic Health Records. CoRR Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller
2019	A	`conf`	InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren
2019	A*	`conf`	Reconciling meta-learning and continual learning with online mixtures of tasks. NeurIPS Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller
2019	A	`conf`	SMOGS: Social Network Metrics of Game Success. AISTATS Fan Bu, Sonia Xu, Katherine A. Heller, Alexander Volfovsky
2018	J	`jnl`	Learning Root Source with Marked Multivariate Hawkes Processes. CoRR Wei Zhang, Fan Bu, Derek Owens-Oas, Katherine A. Heller, Xiaojin Zhu
2018	J	`jnl`	Online gradient-based mixtures for transfer modulation in meta-learning. CoRR Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller
2017	—	`conf`	An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection. MLHC Joseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark P. Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien
2017	—	`conf`	An inner-loop free solution to inverse problems using deep neural networks. NIPS Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller
2017	J	`jnl`	An inner-loop free solution to inverse problems using deep neural networks. CoRR Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller
2017	J	`jnl`	InverseNet: Solving Inverse Problems with Splitting Networks. CoRR Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller
2017	A*	`conf`	Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier. ICML Joseph Futoma, Sanjay Hariharan, Katherine A. Heller
2017	A	`conf`	Machine Learning for Healthcare Data. UAI Katherine A. Heller
2017	—	`conf`	Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes. MLHC Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine A. Heller
2016	A*	`conf`	A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. AAAI Kai Fan, Chunyuan Li, Katherine A. Heller
2016	A	`conf`	Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. UAI Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao
2016	—	`conf`	Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data. MLHC Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
2016	A	`conf`	Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease. UAI Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
2016	A*	`conf`	Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. ICDM Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller
2015	—	`conf`	Fast Second Order Stochastic Backpropagation for Variational Inference. NIPS Kai Fan, Ziteng Wang, Jeffrey M. Beck, James T. Kwok, Katherine A. Heller
2015	A*	`conf`	Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. KDD Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller
2015	—	`conf`	Parallelizing MCMC with Random Partition Trees. NIPS Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson
2015	A	`conf`	The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
2014	—	`ch.`	Partial Membership and Factor Analysis. Handbook of Mixed Membership Models and Their Applications Zoubin Ghahramani, Shakir Mohamed, Katherine A. Heller
2014	J	`jnl`	The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
2013	J	`jnl`	Growing a list. Data Min. Knowl. Discov. Benjamin Letham, Cynthia Rudin, Katherine A. Heller
2012	J	`jnl`	Bayesian Rose Trees CoRR Charles Blundell, Yee Whye Teh, Katherine A. Heller
2012	—	`conf`	Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. NIPS Jeffrey M. Beck, Katherine A. Heller, Alexandre Pouget
2012	A*	`conf`	Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . ICML Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
2012	J	`jnl`	Graph-Coupled HMMs for Modeling the Spread of Infection CoRR Wen Dong, Alex Pentland, Katherine A. Heller
2012	A	`conf`	Graph-Coupled HMMs for Modeling the Spread of Infection. UAI Wen Dong, Alex Pentland, Katherine A. Heller
2012	J	`jnl`	Modeling Infection with Multi-agent Dynamics CoRR Wen Dong, Katherine A. Heller, Alex Pentland
2012	—	`conf`	Modeling Infection with Multi-agent Dynamics. SBP Wen Dong, Katherine A. Heller, Alex Pentland
2012	—	`conf`	Modelling Reciprocating Relationships with Hawkes Processes. NIPS Charles Blundell, Katherine A. Heller, Jeffrey M. Beck
2011	J	`jnl`	Bayesian and L1 Approaches to Sparse Unsupervised Learning CoRR Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
2011	J	`jnl`	Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinform. Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva
2011	—	`conf`	Testing a Bayesian Measure of Representativeness Using a Large Image Database. NIPS Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths
2010	A	`conf`	An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller
2010	A	`conf`	Bayesian Rose Trees. UAI Charles Blundell, Yee Whye Teh, Katherine A. Heller
2010	A*	`conf`	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
2009	—	`conf`	Hierarchical Learning of Dimensional Biases in Human Categorization. NIPS Katherine A. Heller, Adam Sanborn, Nick Chater
2009	A	`conf`	Infinite Hierarchical Hidden Markov Models. AISTATS Katherine A. Heller, Yee Whye Teh, Dilan Görür
2009	J	`jnl`	R/BHC: fast Bayesian hierarchical clustering for microarray data. BMC Bioinform. Richard S. Savage, Katherine A. Heller, Yang Xu, Zoubin Ghahramani, William M. Truman, Murray Grant, Katherine J. Denby, David L. Wild
2009	J	`jnl`	Ranking Relations using Analogies in Biological and Information Networks CoRR Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi
2009	A	`conf`	Tree-Based Inference for Dirichlet Process Mixtures. AISTATS Yang Xu, Katherine A. Heller, Zoubin Ghahramani
2008	—	`conf`	Bayesian Exponential Family PCA. NIPS Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
2008	A*	`conf`	Statistical models for partial membership. ICML Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani
2007	A	`conf`	A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. AISTATS Katherine A. Heller, Zoubin Ghahramani
2007	A	`conf`	Analogical Reasoning with Relational Bayesian Sets. AISTATS Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani
2006	—	`conf`	A Simple Bayesian Framework for Content-Based Image Retrieval. CVPR (2) Katherine A. Heller, Zoubin Ghahramani
2005	J	`jnl`	A comparative evaluation of two algorithms for Windows Registry Anomaly Detection. J. Comput. Secur. Salvatore J. Stolfo, Frank Apap, Eleazar Eskin, Katherine A. Heller, Shlomo Hershkop, Andrew Honig, Krysta M. Svore
2005	—	`conf`	Bayesian Sets. NIPS Zoubin Ghahramani, Katherine A. Heller
2005	A*	`conf`	Bayesian hierarchical clustering. ICML Katherine A. Heller, Zoubin Ghahramani